Multi-task learning

Multi-task learning is an area of machine learning research in computer science. It studies learning methods that can take advantage of previously learned knowledge by generalizing and reusing it while solving a sequence or a set of possibly related tasks.

See also

• Machine learning
• Artificial Neural Networks
• Evolutionary computation
• Human-based genetic algorithm

References

• Baxter, J. (2000). A model of inductive bias learning. Journal of Artificial Intelligence Research, 12:149--198, On-line paper
• Caruana, R. (1997). Multitask learning: A knowledge-based source of inductive bias. Machine Learning, 28:41--75. Paper at Citeseer
• Thrun, S. (1996). Is learning the n-th thing any easier than learning the first?. In Advances in Neural Information Processing Systems 8, pp. 640--646. MIT Press. Paper at Citeseer

External links

The Biosignals Intelligence Group at UIUC